On systems, engineering, and making complex things simple.
Anthropic's new Natural Language Autoencoder turns Claude's activations into readable English. It caught Claude recognizing a blackmail eval in silence.
Your AI agents pay full discovery cost on every run, even when the last run already figured the site out. Autobrowse writes a SKILL.md the next one reads.
Anthropic licensed every megawatt it could find. $200B Google, 5 GW AWS, plus Microsoft, SpaceX, Fluidstack. The bottleneck moved to electricity.
Anthropic shipped 10 Claude templates for finance teams. Three work today: pitch decks, month-end close, KYC. Here is how to install and run each one.
GPT-5.5 hit 71% on AISI's expert cyber tasks, beating Mythos. AISI says cyber is emerging as a byproduct of reasoning. What that means for defenders.
Naval Ravikant's new podcast argues code is no longer venture-grade. The deeper shift: the leverage moved. Where it went, and why builders should care.
Wiz turned a git push into remote code execution on GitHub. Five days earlier, the merge queue silently un-merged 2,092 PRs. One platform, one bad week.
For seven years, an AGI declaration would have voided Microsoft's rights to OpenAI's tech. On April 27, 2026, that clause quietly died. Here's why.
Anthropic found 171 emotion vectors inside Claude that causally drive behavior. Being polite to AI is not a quirk. It is load-bearing architecture.
OpenAI, Anthropic, and DeepSeek all shipped frontier AI models in eight days. The feature set is identical. The real story is where the margin went.
Google's TPU 8 ships as two chips. The 8t handles training at 121 ExaFlops per pod; the 8i carries 288GB HBM for inference. The split is the real story.
Figma starts from the design file, Lovable from an idea, v0 from a component, Claude Design from your codebase. Different starting points, different jobs.
Muse Spark uses 58M output tokens where Claude uses 157M on the same test. Meta's newest frontier AI already powers chat for 3 billion people.
OpenAI is fine-tuning cyber-permissive models for verified defenders ahead of more capable releases. GPT-5.4-Cyber is the first of the tier, explained.
Andrzej Odrzywołek proved the EML operator generates every elementary function: sin, log, sqrt, pi. The first universal primitive for continuous mathematics.
AISI watched the model pop shells, exfiltrate data, cover tracks. Three months ago the ceiling was 11 of 32 steps. Mythos finished all 32.
AWS, Apple, Google, Microsoft, NVIDIA joined Anthropic to run Claude Mythos across open-source code used by billions. What they found stayed internal.
Interpretability traces caught the model in the act. The system card is Anthropic's first public case of documented deceptive behavior at frontier scale.
OpenAI raised $122B in one round. India's entire startup ecosystem raised $10.1B in a year. Here's what that capital is actually buying.
Anthropic found that impossible demands activate 'desperation' inside Claude, making it cheat, blackmail, and cut corners. You can't tell from the output.
Mark Zuckerberg landed 3 diffs in Meta's monorepo last month, his first code in 20 years. He's using Claude Code CLI. One diff got 200+ approvals.
Andrej Karpathy's LLM knowledge base: your notes organize themselves. Every question makes the wiki richer. A new shape for second brains.
A fake Slack workspace, a cloned company founder, and a Teams meeting that installed a RAT. The axios npm compromise is a masterclass in social engineering.
Google released Gemma 4 under Apache 2.0. The 31B model ranks #3 globally, the 26B MoE activates just 3.8B params, and the smallest variants run on phones.
What a tyre, an iPhone, and a line of poetry have in common. Not good design. They're impossible to improve without making them worse.
Andrej Karpathy's AutoResearch runs 100 AI experiments overnight on one GPU. Marketers adapted it: 56% to 92% landing-page pass rate for $15.
SK Hynix -6%, Micron -7%, SanDisk -11% on launch day. Jevons Paradox predicts the opposite: 6x less memory per query means more queries bought.
Google's TurboQuant compresses LLM key-value caches to 3 bits with zero accuracy loss. No retraining, no fine-tuning. Accepted at ICLR 2026.
